DATA ANALYSIS & SIMULATION PROFESSIONAL
Siemens Energy - Charlotte, NC
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Snapshot of Your Day:We are looking for a DataAnalysis & Simulation Professional in Charlotte, NC to handle Automation, Artificial Intelligence, Data Science projects, and enhance technical and leadership skills.How You'll Make an Impact: Engagein cross-departmental collaborations to broaden the impact of multiplebusiness units like Steam Turbine, Generator and Grid Technologyinnovations across the company. Developmentand deployment for the real time object and defect detection in the SteamTurbine Rotor welding business unit. Handledisplay and storage of camera images and power supply to camera via PoEnetwork card for connected arc camera Real time AI based image evaluationand video recording using a powerful graphics card. Optimizethe business processes, improve Visibility and Transparency of LargeGenerator (LGN) Data by automating the end-to-end process and developingthe applications, automation tools and solutions. Developthe Datasets and Datamart using Extract, Transform and load (ETL) and datamanipulation tools including the Physical, Logical, and conceptual modelsfor data mart design and development. Understandbusiness analytics requests for the whole Large Generator (LGN). Gatherdata from various sources for reporting and analysis. Createadvanced visualizations to support the operations staff to make decisionson strategy and tactics for the organization. Documentthe design and key features of the product to help long term maintenance. What You Bring: Bachelor's degree inComputer Science, Data Science, Information Science, or a related fieldand 5 years of experience. Full term ofexperience must include: programming knowledge using Python and R; Data visualizationtools such as Tableau and Power BI; Developing, testing,and implementing data initiatives; ETL Tools; Data analytics toolsand software such as Alteryx, or SAS; Statistical analysisand data modeling techniques. Experience must alsoinclude: knowledge of big data cloud technologies (e.g. AWS); UIPath or similar RPAtools; SAP backend tablesand table structure with SAP scripting; Machine Learningmethods, algorithms and approach; Artificialintelligence techniques like Natural language processing, computer visionand deep learning; Cloud technologies(e.g., AWS); and Github. The position is eligible for the Employee ReferralProgram. · To apply, please email resumes to referencing job code: MK/KP.Equal Employment Opportunity StatementSiemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or locallaw.
Created: 2026-03-07